Q2

Real-time Self-supervised Ultrasound Image Enhancement Using Test-Time Adaptation for Sophisticated Rotator Cuff Tear Diagnosis
SCI(E); IF=3.20, 36.70% (Q2)
IEEE Signal Processing Letters (Early Accept)
인용 원본문서 DOI
Real-time Self-supervised Ultrasound Image Enhancement Using Test-Time Adaptation for Sophisticated Rotator Cuff Tear Diagnosis
Intelligent Smartphone-based Multimode Imaging Otoscope for the Mobile Diagnosis of Otitis Media
SCI(E); IF=3.56, 30.20% (Q2)
Biomedical Optics Express (BOE, 2021, Vol. 12, Issue 12, pp. 7765-7779)
인용 원본문서 DOI
Intelligent Smartphone-based Multimode Imaging Otoscope for the Mobile Diagnosis of Otitis Media
Imbalanced Loss-Integrated Deep-Learning-based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear
SCI(E); IF=3.85, 28.91% (Q2)
Sensors (Sensors, 2021, Vol. 21, Issue 6)
PDF 인용 원본문서 DOI
Imbalanced Loss-Integrated Deep-Learning-based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear
Wide-field 3D Ultrasound Imaging Platform with a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears
SCI(E); IF=3.37, 34.25% (Q2)
IEEE ACCESS (IEEE ACCESS, 2020, Vol. 8, Issue 1, pp. 65472-65487)
PDF 인용 원본문서 DOI
Wide-field 3D Ultrasound Imaging Platform with a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears
Smartphone-based Spectral Imaging Otoscope: System Development and Preliminary Study for Evaluation of Its Potential As a Mobile Diagnostic Tool
SCI(E); IF=3.21, 28.79% (Q2)
Journal of Biophotonics (Journal of Biophotonics, 2020, Vol. 13, Issue 6, pp. 24-52)
인용 원본문서 DOI
Smartphone-based Spectral Imaging Otoscope: System Development and Preliminary Study for Evaluation of Its Potential As a Mobile Diagnostic Tool